Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

Abstract

In the context of rapid urbanization and limited land amount, it is essential to scientifically evaluate the urban land green use efficiency (ULGUE) to promote regional sustainable development. Current studies are of great value for enriching the theoretical system and application research of ULGUE. Still, most of them only consider industrial pollution but ignore carbon emission as an essential environmental influencing indicator. This paper introduced carbon emissions into the input-output indicator system, measured ULGUE of 57 cities in the Yellow River Basin (YRB) over the 2004–2017 periods using the super-efficiency slacked-based measure (Super-SBM) model, analyzed its spatio-temporal patterns with the kernel density estimation (KDE) model and spatial autocorrelation model, and then identified the influencing factors with the Spatial Durbin model (SDM). As shown by the results, firstly, the ULGUE in the YRB over the 2004–2017 periods showed a trend of first decreasing and then increasing. Secondly, the ULGUE exhibited spatio-temporal imbalance characteristics across the YRB. Thirdly, ULGUE was the interaction of multiple indicators, and its influencing factors had spatial spillover effects. All in all, this paper is fundamental to the high-quality development of cities in the background of the Chinese policy of “carbon peak, carbon neutralization”.

Spatial–temporal evolution and spatial spillover of the green efficiency of urban construction land in the Yangtze River Economic Belt, China

“…After determining the measurement method of GEUCL, appropriate input indicators, expected output indicators and unexpected output indicators should be selected, so as to accurately measure the efficiency values. By referring to relevant research 21 , 23 , 25 , 42 , land, capital and labor are selected as input factors. In terms of land factor, since the research object is construction land, the area of urban construction land is used to represent the land input.…”

“…With the increasing attention paid to environmental protection and green development, some scholars took environmental constraints into consideration when studying urban land use efficiency, and conducted a large number of effective studies on the green use efficiency of urban land. In terms of efficiency measurement, existing studies adopted SBM model 19 , 20 , super-efficiency SBM model 21 – 25 , global non-radial directional distance function 26 , EBM model 27 to measure the green use efficiency of urban land. It is worth noting that although there were differences in various measurement methods, environmental pollution generated in the process of land use was regarded as an undesirable output.…”

Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze river economic belt, China

“…Among them, most studies have been researched on ULGUE at the national scope of China (Liang et al, 2019;Xu and Liu, 2021;Lu et al, 2022). At the watershed scope, the Yellow River Basin and the Yangtze River Basin are the two major river basins in China, but the existing literature mainly focused on the study of ULGUE of the Yellow River Basin (Han and Tongtong, 2022;Su and Yang, 2022), while only a few literatures focused on ULGUE of the Yangtze River Economic Belt (Ge et al, 2021a;Ge et al, 2021b;Zhong et al, 2022). And the existing literature did not conduct indepth analysis on the spatial differences and spatial-temporal evolution of ULGUE in the Yangtze River Economic Belt, so relevant studies need to be further supplemented and expanded.…”

“…At present, some scholars have paid attention to the issue of green land use efficiency and have achieved a series of research results (Liang et al, 2019;Wang and Pang, 2019;Xu and Liu, 2021;Chen et al, 2022;Lu et al, 2022), but the research scale is mostly based on the national level of China (Lu et al, 2020;Xu and Liu, 2021), and the Yellow River basin (Ding et al, 2021;Su and Yang, 2022). Only a few literatures focus on the green land use efficiency of the Yangtze River Economic Belt (Zhong et al, 2022).…”

Measurement of cultivated land green use efficiency based on carbon emission and its influencing factors: A case study of 39 cities in the Yangtze River Basin

“…First, the measurement of CLGUE, in the measurement index system selection, the early researchers usually choose the 'input' and 'output' two indicators for the comprehensive measurement of the CLGUE values, in the measurement method usually choose the data envelopment analysis that is DEA (Liang et al, 2019;Liu and Zhao, 2022;Yang et al, 2017;Zhu et al, 2019)or stochastic frontier production function (Liu et al, 2020). In recent years, as the concept of green and low-carbon development continues to grow and under the realistic requirement of 'carbon neutrality', researchers have started to focus on the non-desired output in the process of cultivated land use e ciency, such as establishing a research system based on carbon emissions (Lu et al, 2018;Su and Yang, 2022), surface pollution (Huang, 2018) and other non-consensual output indicators (Lu et al, 2020) to measure CLGUE, and the measurement methods have also changed, mainly using the SBM model (Hu et al, 2018;Lin and Ling, 2021), Malmquist (Tang et al, 2021) and Stochastic boundary analysis method (Ferreira and Feres, 2020) .Secondly, to explore the heterogeneity in time and space (Kuang et (Gou et al, 2021), etc. In addition to the above conventional research methods, some scholars have used direct observation method to investigate the spatial and temporal evolution characteristics of land use e ciency in the study area by using ArcGIS software for satellite image analysis (Koroso et al, 2020).…”